Chenglin Gui , Xuhong Zhao , Shanru Ai , Xi Ouyang , Aimin Deng , Minglong Li
{"title":"An augmented–depleted framework of AI awareness: Concept expansion and scale development","authors":"Chenglin Gui , Xuhong Zhao , Shanru Ai , Xi Ouyang , Aimin Deng , Minglong Li","doi":"10.1016/j.ijhm.2025.104164","DOIUrl":null,"url":null,"abstract":"<div><div>Although research on employee AI awareness is gradually increasing, existing work lacks valid conceptualization and measurement scales. Scholars mostly interpret this concept from the perspective of job insecurity and stress, and there is no consensus on the consequences of AI awareness. This study employs two separate investigations to construct an augmented–depleted framework for AI awareness and examines the influence of AI awareness on employee outcomes. Study 1 developed four dimensions of AI awareness (replaced AI-augmented, assisted AI-augmented, replaced AI-depleted, and threatened AI-depleted) with a 16-item scale through a five-stage process: dimension identification, item generation, assessment of content validity, exploratory factor analysis, and confirmatory factor analysis. Study 2 verified the influence of AI awareness on employee cognitional, emotional, and behavioral outcomes through a time-lagged survey of 297 superior–subordinate matching pairs. This study expands the view of AI awareness, develops a new measurement scale, and provides foundations for further research.</div></div>","PeriodicalId":48444,"journal":{"name":"International Journal of Hospitality Management","volume":"128 ","pages":"Article 104164"},"PeriodicalIF":9.9000,"publicationDate":"2025-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Hospitality Management","FirstCategoryId":"91","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0278431925000878","RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"HOSPITALITY, LEISURE, SPORT & TOURISM","Score":null,"Total":0}
引用次数: 0
Abstract
Although research on employee AI awareness is gradually increasing, existing work lacks valid conceptualization and measurement scales. Scholars mostly interpret this concept from the perspective of job insecurity and stress, and there is no consensus on the consequences of AI awareness. This study employs two separate investigations to construct an augmented–depleted framework for AI awareness and examines the influence of AI awareness on employee outcomes. Study 1 developed four dimensions of AI awareness (replaced AI-augmented, assisted AI-augmented, replaced AI-depleted, and threatened AI-depleted) with a 16-item scale through a five-stage process: dimension identification, item generation, assessment of content validity, exploratory factor analysis, and confirmatory factor analysis. Study 2 verified the influence of AI awareness on employee cognitional, emotional, and behavioral outcomes through a time-lagged survey of 297 superior–subordinate matching pairs. This study expands the view of AI awareness, develops a new measurement scale, and provides foundations for further research.
期刊介绍:
The International Journal of Hospitality Management serves as a platform for discussing significant trends and advancements in various disciplines related to the hospitality industry. The publication covers a wide range of topics, including human resources management, consumer behavior and marketing, business forecasting and applied economics, operational management, strategic management, financial management, planning and design, information technology and e-commerce, training and development, technological developments, and national and international legislation.
In addition to covering these topics, the journal features research papers, state-of-the-art reviews, and analyses of business practices within the hospitality industry. It aims to provide readers with valuable insights and knowledge in order to advance research and improve practices in the field.
The journal is also indexed and abstracted in various databases, including the Journal of Travel Research, PIRA, Academic Journal Guide, Documentation Touristique, Leisure, Recreation and Tourism Abstracts, Lodging and Restaurant Index, Scopus, CIRET, and the Social Sciences Citation Index. This ensures that the journal's content is widely accessible and discoverable by researchers and practitioners in the hospitality field.